Data Analyst Onsite W2

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title -Data Analyst Banking Domain

Location - Dallas TX

Work Mode -Onsite (5 days a week)

Interview Process -In-Person Interview
Role Overview

We are seeking a skilled Data Analyst to support a Banking Domain client by analyzing large datasets building interactive dashboards and delivering actionable insights to business stakeholders. The ideal candidate will have strong hands-on experience with Tableau SQL and AWS along with a solid understanding of banking data and reporting needs.

Key Responsibilities

Analyze complex banking datasets to identify trends patterns and insights
Design develop and maintain interactive dashboards and reports using Tableau
Write optimized SQL queries to extract transform and validate data
Work with AWS services to access process and analyze cloud-based data
Collaborate with business and technical teams to understand reporting requirements
Ensure data accuracy consistency and compliance with banking standards
Present findings and insights clearly to stakeholders and leadership

Mandatory Skills

Strong experience with Tableau (dashboarding visual analytics)
Advanced SQL skills (joins subqueries performance tuning)
Hands-on experience with AWS (S3 Redshift Athena or similar)
Experience working in the Banking or Financial Services domain
Strong analytical problem-solving and communication skills

Nice-to-Have Skills

Experience with Python or R for data analysis
Knowledge of ETL processes and data pipelines
Familiarity with Agile/Scrum methodologies
Exposure to data governance and regulatory reporting in banking

Note

This is a 100% onsite role
In-person interview is mandatory
Only candidates willing to work onsite should apply

Job Title -Data Analyst Banking Domain Location - Dallas TX Work Mode -Onsite (5 days a week) Interview Process -In-Person Interview Role Overview We are seeking a skilled Data Analyst to support a Banking Domain client by analyzing large datasets building interactive dashboards and del...